Statistical analysis of the SNR loss due to imperfect time reversal

Abstract : Prefiltering that is, linear processing at the transmitter side of a link, is often used in communication in order to simplify receivers, or to improve performance. Prefiltering requires at least a knowledge of the channel state. When this information is estimated, imperfect estimations impact achievable performance. Time reversal, that is a special kind of prefiltering, where channel is estimated at transmitter side during a training phase, is analyzed, in particular regarding the pattern of channel estimation errors. Results show that a loss in SNR is incurred, and a symbol error probability floor appears, depending on the variance of estimation errors. Exact theoretical expressions were derived for the SNR loss as well as symbol error probability.
Type de document :
Communication dans un congrès
IEEE ICUWB 2014, Sep 2014, Paris, France. Proceedings of the 2014 IEEE International Conference on Ultra-WideBand, pp.36 - 40, 〈10.1109/ICUWB.2014.6958947〉
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Contributeur : Catherine Magnet <>
Soumis le : mercredi 17 décembre 2014 - 16:24:51
Dernière modification le : vendredi 19 décembre 2014 - 13:38:48

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G.C. Ferrante, Jocelyn Fiorina, Maria-Gabriella Di Benedetto. Statistical analysis of the SNR loss due to imperfect time reversal. IEEE ICUWB 2014, Sep 2014, Paris, France. Proceedings of the 2014 IEEE International Conference on Ultra-WideBand, pp.36 - 40, 〈10.1109/ICUWB.2014.6958947〉. 〈hal-01096545〉

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